Agents Don’t Need More Compute — They Need Better Engineering

📅 Recorded: February 6, 2026In this episode of Domesticating AI, we discuss why scaling AI systems with more compute often hides weak engineering decisions — especially in agent workflows. We explore constrained hardware, context management, tool calling, logit manipulation, and why small models can make you a better AI engineer.Moltbot / Clawdbot overview (The Verge)https://www.theverge.com/report/869004/moltbot-clawdbot-local-ai-agentFake Moltbot VS Code extension spreading malwarehttps://thehackernews.com/2026/01/fake-moltbot-ai-coding-assistant-on-vs.htmlExposed Moltbot admin panels and credential leakshttps://www.bitdefender.com/en-us/blog/hotforsecurity/moltbot-security-alert-exposed-clawdbot-control-panels-risk-credential-leaks-and-account-takeoversCloudflare Moltworker (self-hosted agent on Workers)https://blog.cloudflare.com/moltworker-self-hosted-ai-agent/LangGraph – https://www.langchain.com/langgraphLangChain – https://www.langchain.com/Langfuse – https://langfuse.com/Pydantic AI – https://github.com/pydantic/pydantic-aiInstructor – https://github.com/jxnl/instructorHugging Face SmolAgents – https://huggingface.co/blog/smolagentsHave a topic suggestion or want to sponsor the show?📩 [email protected]